Registry

Module Specifications

Archived Version 2017 - 2018

Module Title	Signals
Module Code	EE314
School	School of Electronic Engineering
Online Module Resources
Module Co-ordinator	Dr Marissa Condon	Office Number	S342
Module Co-ordinator	Dr Marissa Condon	Office Number	S342
NFQ level	8	Credit Rating	10
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Description

To provide the student with an understanding of modelling and analysis techniques for random and deterministic signals.To provide the student with an understanding of basic probability and random processes in relation to signals.

Learning Outcomes

1. Derive and calculate an expression for the frequency response of a LTI system.
2. Simulate and measure frequency responses.
3. Calculation and determination of the frequency response of discrete-time systems.
4. Perform Fourier analysis of discrete-time signals and systems.
5. Compute the time domain response of discrete systems using z-domain analysis
6. Apply Bayes Theorem.
7. Perform operations on random variables such as calculation of the expectation and the variance.
8. Calculation and utilization of autocorrelation functions of random processes.
9. Determination of the spectral characteristics of random processes.

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Lecture	48	No Description
Laboratory	12	No Description
Tutorial	11	No Description
Independent Study	179	No Description
Total Workload: 250

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Continuous-Time Signals & Systems

Discrete-Time Signals and Systems

Sampling Theorem

Fourier Series, Fourier Transform, Discrete Fourier Transform

Stochastic signals and probability

Random variables

Random processes

Assessment Breakdown
Continuous Assessment	20%	Examination Weight	80%

Type	Description	% of total	Assessment Date
Course Work Breakdown

Reassessment Requirement
Resit arrangements are explained by the following categories; 1 = A resit is available for all components of the module 2 = No resit is available for 100% continuous assessment module 3 = No resit is available for the continuous assessment component
Unavailable

Indicative Reading List

Peebles: 2002, Probability, Random Variables, and Random Signal Principles, 4th, McGraw-Hill Education,
A. V. Oppenheim and A.S. Willsky: 2013, Signals and Systems, 2, Pearson Education, Limited,
V Krishnan: 2006, Probability and Random Processes, John Wiley and Sons,

Other Resources

None

Programme or List of Programmes

ECE	BEng Electronic & Computer Engineering
ECSA	Study Abroad (Engineering & Computing)
ECSAO	Study Abroad (Engineering & Computing)

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